Senior Data Engineer

Data, Tel Aviv

Description

Join Lusha, where culture isn't just a label—it's our DNA. We're dreamers, innovators, and learners, driven by simplicity, collaboration, and trust. At Lusha, every voice matters, and together, we shape a company we're proud of. Ready to be part of something truly unique? Join us and let's grow better together.

As a Lusha employee, you’ll empower B2B sales professionals globally to unlock lucrative revenue opportunities and drive sustainable growth. With over 1 million users and a database of 200+ million entries, your contributions will directly impact our customers, revolutionizing the way they approach sales and positioning them for long-term success in a competitive marketplace. With 40,000 new signups benefiting from our dynamic platform each month, your role is crucial in continuing to enhance and expand our offerings. You’ll help deliver exceptional value to our growing user community, ensuring they have the best tools at their disposal to succeed in a competitive marketplace.

We’re looking for a Senior Data Engineer to design and implement high-scale data-intensive platform, research and implement algorithmic solutions and collaborate on significant company projects

Where does this role fit in our vision?

Every role at our company is designed with a clear purpose—to integrate collective efforts into our shared success, functioning as pieces of a collective brain. At Lusha, data is at the heart of everything we do. Our data engineers are responsible for building the core products that drive our business. The data teams own and manage the pipelines that create Lusha's assets, with a strong focus on the company KPIs.

How you’ll shape the future of B2B sales?

Solve Complex Business Problems with Data Integration and Engineering Solutions

• Develop and implement robust data pipelines and integration solutions.
• Utilize a wide range of technologies to address complex data challenges and enhance business operations.

Collaborate with Business Stakeholders and Define Priorities

• Develop solutions that directly impact the core product and user experience.

Build and Maintain Data Infrastructure

• Design and implement the necessary data infrastructure to support machine learning and data-driven solutions.
• Monitor and maintain the data pipelines to ensure continuous, reliable performance.

Here’s what we need from you

• 5+ years of experience in designing and implementing server-side data solutions.
• 5+ years of programming experience, preferably in Python and SQL.
• Proven experience in implementing algorithmic solutions, data mining, and analytical methodologies.
• Proficient in using orchestration frameworks such as Airflow, Kubernetes, and Docker Swarm.
• Experience with Data Lake and Spark is an advantage.
• Familiarity with the AWS ecosystem is an advantage.
• Knowledge of tools such as Kafka, Databricks, and Jenkins is an advantage.
• Experience working with various database engines, including relational (Postgres, MySQL), document

storage, key-value (Redis), and time series (ElasticSearch).

Qualifications

• 5+ years experience in designing and implementing server-side Data solutions.
• 5+ years programming experience, preferably in Python and SQL.
• Experience implementing algorithmic solutions, data mining, and analytical methodologies.
• Able to use orchestration frameworks such as Airflow, Kubernetes, and Docker Swarm.
• Experience with Data Lake, Spark - Advantage.
• Familiarity with AWS ecosystem - Advantage.
• Familiarity with the following tools: Kafka, DataBricks, Jenkins - advantage.
• Experience working with various database engines (relational, document storage, key-value, time series) - ElasticSearch, Redis, Postgres, MySql.